Unfair treatment often hides in patterns: who gets flexible scheduling, whose errors are overlooked, whose ideas get credit, whose voices get heard in meetings. Comparing how different employees are actually treated—not just what policy says—reveals whether the workplace operates differently for different people.
Comparative benchmarking in a workplace context means using AI to analyze whether the standards, deadlines, scrutiny, or disciplinary actions applied to you differ measurably from those applied to colleagues in similar roles, surfacing potential disparate treatment that would otherwise be difficult to quantify.
This technique is valuable when building a case for discrimination or selective enforcement, because AI can process large volumes of policy documents, meeting notes, and performance records to generate side-by-side comparisons that make unequal treatment visible and documentable.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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